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    "info": {
        "author": "Yukino Ikegami",
        "author_email": "yknikgm@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Intended Audience :: Developers",
            "Intended Audience :: Information Technology",
            "License :: OSI Approved :: MIT License",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7"
        ],
        "description": "Morris Counter\n==============\n|travis| |pyversion| |version| |license|\n\nMemory-efficient probabilistic counter namely Morris Counter.\nThis module based on the following paper:\n\n- Robert Morris. Counting large numbers of events in small registers. Communications of the ACM, vol. 21, issue 10, pp. 840-842, 1978.\n\nCurrently Morris Counter supports Python 3.5 and higher.\n\nBasic idea of Morris Counter is described as follows:\n\n- https://en.wikipedia.org/wiki/Approximate_counting_algorithm\n- http://yukinoi.hatenablog.com/entry/2015/11/19/220721 (written in Japanse)\n\nINSTALLATION\n==============\n\n::\n\n $ pip install morris_counter\n\n\nWhile the Morris Counter works builtin modules, using third-party package (numpy and mmh3) leads to improve memory-usage and computation time.\n\n::\n\n $ pip install numpy mmh3\n\nUSAGE\n============\n\n.. code:: python\n\n  from morris_counter import MorrisCounter\n\n  mc = MorrisCounter(size=1000000, dtype='uint8', radix=2, seed=3282)\n  mc.count('ZOC')\n  # => 1\n  mc.increment('ZOC')\n  mc.count('ZOC')\n  # => 2\n  _ = [mc.increment('ZOC') for _ in range(2000)]\n  mc.count('ZOC')\n  # => 2048\n\n\n.. |travis| image:: https://travis-ci.org/ikegami-yukino/morris_counter.svg?branch=master\n    :target: https://travis-ci.org/ikegami-yukino/morris_counter\n    :alt: travis-ci.org\n\n.. |pyversion| image:: https://img.shields.io/pypi/pyversions/morris_counter.svg\n\n.. |version| image:: https://img.shields.io/pypi/v/morris_counter.svg\n    :target: http://pypi.python.org/pypi/morris_counter/\n    :alt: latest version\n\n.. |license| image:: https://img.shields.io/pypi/l/morris_counter.svg\n    :target: http://pypi.python.org/pypi/morris_counter/\n    :alt: license\n\n\nCHANGES\n=======\n\n0.1.2 (2019-09-11)\n------------------\n\n- First release",
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        "keywords": "counter,probabilistic data structure,approximate counting",
        "license": "MIT License",
        "maintainer": "",
        "maintainer_email": "",
        "name": "morris-counter",
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        "summary": "Memory-efficient probabilistic counter namely Morris Counter",
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